Statistical Analysis of Panel Count Data

Jianguo Sun, Xingqiu Zhao (Autoren)

Buch | Softcover

271 Seiten

2016 | Softcover reprint of the original 1st ed. 2013
Springer-Verlag New York Inc.
978-1-4939-4207-7 (ISBN)

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Panel count data occur in studies that concern recurrent events, or event history studies, when study subjects are observed only at discrete time points. By recurrent events, we mean the event that can occur or happen multiple times or repeatedly. Examples of recurrent events include disease infections, hospitalizations in medical studies, warranty claims of automobiles or system break-downs in reliability studies. In fact, many other fields yield event history data too such as demographic studies, economic studies and social sciences. For the cases where the study subjects are observed continuously, the resulting data are usually referred to as recurrent event data.

This book collects and unifies statistical models and methods that have been developed for analyzing panel count data. It provides the first comprehensive coverage of the topic. The main focus is on methodology, but for the benefit of the reader, the applications of the methods to real data are also discussed along with numerical calculations. There exists a great deal of literature on the analysis of recurrent event data. This book fills the void in the literature on the analysis of panel count data.

This book provides an up-to-date reference for scientists who are conducting research on the analysis of panel count data. It will also be instructional for those who need to analyze panel count data to answer substantive research questions. In addition, it can be used as a text for a graduate course in statistics or biostatistics that assumes a basic knowledge of probability and statistics.

Jianguo (Tony) Sun is a professor at the Department of Statistics of the University of Missouri. He obtained his Ph.D. at the University of Waterloo and has been developing novel statistical methods for the analysis of interval-censored failure time data and panel count data over the last 20 years. In particular, he published "The Statistical Analysis of Interval-censored Failure Time Data" (Springer, 2006), the first book on interval-censored data. He also co-authored with Drs. Chen and Peace the volume "Interval-censored Time-to-Event Data: Methods and Applications" (Chapman and Hall, 2012). Xingqiu Zhao is a faculty member of The Hong Kong Polytechnic University and she obtained her Ph.D. at McMaster University. Her research interests include econometrics, financial mathematics, longitudinal data analysis, stochastic process models and applications, survival analysis, and time series analysis. In particular, she has published many papers on new statistical inference procedures for analyzing interval-censored failure time data, recurrent event data and panel count data.

Introduction.- Poisson Models and Parameter Inference.- Nonparametric Estimation.- Nonparametric Comparison of Point Processes.- Regression Analysis of Panel Count Data I and II.- Analysis of Multivariate Panel Count Data.- Other Topics.- Some Sets of Data.- References.- Index.

Erscheinungsdatum	11.08.2016
Reihe/Serie	Statistics for Biology and Health ; 80
Zusatzinfo	11 Illustrations, color; 7 Illustrations, black and white; XV, 271 p. 18 illus., 11 illus. in color.
Verlagsort	New York
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Mathematik ► Statistik
	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
	Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie
Schlagworte	Biostatistics • nonparametric estimation • Panel Count Data • Parametric inference • point processes • Poisson Models • Recurrent Event Data • Regression Analysis
ISBN-10	1-4939-4207-7 / 1493942077
ISBN-13	978-1-4939-4207-7 / 9781493942077
Zustand	Neuware